Keyphrases
- principal component analysis
- sparse pca
- sparse regression
- high dimensional
- random projections
- sparse principal component analysis
- principal components analysis
- principal components
- canonical correlation analysis
- dimensionality reduction
- feature extraction
- principle component analysis
- sparse data
- face recognition
- robust principal component analysis
- face images
- covariance matrix
- sparse representation
- k means
- compressed sensing
- feature selection and classification
- independent component analysis
- linear discriminant analysis
- feature selection
- signal recovery
- feature space
- appearance based object recognition
- low dimensional